Grand Rounds

Generative AI in the DOM: Cutting-Edge Applications and Innovations

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Generative AI in the DOM: Cutting-Edge Applications and Innovations
 

Artificial intelligence promises to transform every industry (and everything else!), but how is it actually changing how we teach, do research, and deliver clinical care at UCSF today? In this Medical Grand Rounds, the first of the 2024-2025 academic year, we provide an interactive overview of the various AI technologies available to faculty, staff, and trainees, and illustrate their current applications within the DOM. We will see how our people are beginning to accelerate data analysis, automate routine tasks, create new content, and deliver interactive simulations.

 

Speakers:

Augusto Garcia-Agundez

Augusto Garcia-Agundez, PhD, a postdoctoral researcher in the Division of Rheumatology, applies his knowledge in natural language processing (NLP) and other artificial intelligence (AI) methods to improve patient outcomes and quality of care in rheumatic diseases. His interdisciplinary research has been supported by the European Commission’s Marie-Skłodowska Curie Global Fellowship, the Peter G. Peterson Foundation, and the Spanish and German ministries of health.


Jin Ge

Jin Ge, MD, MBA, an assistant professor of medicine in the Divisions of Gastroenterology and Division of Clinical Informatics and Digital Transformation, is a Transplant Hepatologist at UCSF Health and affiliate faculty in the UCSF Bakar Computational Health Sciences Institute and the UCSF-UC Berkeley Joint Program in Computational Precision Health. His research focuses on using clinical informatics, data science, and artificial intelligence to improve care for patients with liver disease.


Elaine Khoong

Elaine Khoong, MD, MS, an assistant professor of general internal medicine and clinical informatician at ZSFG, is interested in leveraging technology and implementation science to improve equity in delivery of primary care. Her research aims to reduce chronic disease disparities in historically excluded populations.


Logan Pierce

Logan Pierce, MD, a professor of clinical medicine in the Division of Hospital Medicine, is board-certified in Internal Medicine and Clinical Informatics and bridges clinical practice with informatics to enhance healthcare delivery. Pierce serves as Managing Director for the Department of Medicine Data Core, leading a team of clinician-data scientists focused on clinical data extraction, analysis, and visualization.

 

How to Attend

In Person:
HSW-301 (Health Sciences West, enter through 513 Parnassus Avenue)
Lunch will be provided

On Zoom:
Join from a PC, Mac, iPad, iPhone or Android device:
https://ucsf.zoom.us/j/97645766587?pwd=OpxbkAwpMENJgLN8xpPHofjwzHD8JH.1
Webinar ID: 976 4576 6587
Passcode: 364678

By Phone (for higher quality, dial a number based on your current location):
US: +1 669 900 6833 or +1 213 338 8477 or +1 669 219 2599
International numbers available: https://ucsf.zoom.us/u/abt1xcyvsc

The session will be recorded for later play. See all past recordings.

Add to Calendar 2024-09-10 12:00:00 2024-09-10 13:00:00 Generative AI in the DOM: Cutting-Edge Applications and Innovations Generative AI in the DOM: Cutting-Edge Applications and Innovations   Artificial intelligence promises to transform every industry (and everything else!), but how is it actually changing how we teach, do research, and deliver clinical care at UCSF today? In this Medical Grand Rounds, the first of the 2024-2025 academic year, we provide an interactive overview of the various AI technologies available to faculty, staff, and trainees, and illustrate their current applications within the DOM. We will see how our people are beginning to accelerate data analysis, automate routine tasks, create new content, and deliver interactive simulations.   Speakers: Augusto Garcia-Agundez, PhD, a postdoctoral researcher in the Division of Rheumatology, applies his knowledge in natural language processing (NLP) and other artificial intelligence (AI) methods to improve patient outcomes and quality of care in rheumatic diseases. His interdisciplinary research has been supported by the European Commission’s Marie-Skłodowska Curie Global Fellowship, the Peter G. Peterson Foundation, and the Spanish and German ministries of health. Jin Ge, MD, MBA, an assistant professor of medicine in the Divisions of Gastroenterology and Division of Clinical Informatics and Digital Transformation, is a Transplant Hepatologist at UCSF Health and affiliate faculty in the UCSF Bakar Computational Health Sciences Institute and the UCSF-UC Berkeley Joint Program in Computational Precision Health. His research focuses on using clinical informatics, data science, and artificial intelligence to improve care for patients with liver disease. Elaine Khoong, MD, MS, an assistant professor of general internal medicine and clinical informatician at ZSFG, is interested in leveraging technology and implementation science to improve equity in delivery of primary care. Her research aims to reduce chronic disease disparities in historically excluded populations. Logan Pierce, MD, a professor of clinical medicine in the Division of Hospital Medicine, is board-certified in Internal Medicine and Clinical Informatics and bridges clinical practice with informatics to enhance healthcare delivery. Pierce serves as Managing Director for the Department of Medicine Data Core, leading a team of clinician-data scientists focused on clinical data extraction, analysis, and visualization.   How to Attend In Person: HSW-301 (Health Sciences West, enter through 513 Parnassus Avenue) Lunch will be provided On Zoom: Join from a PC, Mac, iPad, iPhone or Android device: https://ucsf.zoom.us/j/97645766587?pwd=OpxbkAwpMENJgLN8xpPHofjwzHD8JH.1 Webinar ID: 976 4576 6587 Passcode: 364678 By Phone (for higher quality, dial a number based on your current location): US: +1 669 900 6833 or +1 213 338 8477 or +1 669 219 2599 International numbers available: https://ucsf.zoom.us/u/abt1xcyvsc The session will be recorded for later play. See all past recordings. Department of Medicine America/Los_Angeles public